|標題：Adaptive hermite-polynomial-based CMAC neural control for chaos synchronization|
|作品名稱||Adaptive hermite-polynomial-based CMAC neural control for chaos synchronization|
|會議名稱||CACS 2012 International Automatic Control Conference|
|摘要||Gyros are a particularly interesting form of nonlinear systems that have attracted many researchers due to their applications in the navigational, aeronautical and space engineering domains. In this paper, a problem of synchronization between two chaotic gyros based on a mater-slave scheme is studied. An adaptive
Hermite-polynomial-based CMAC neural control (AHCNC) system which is composed of a neural controller and a smooth compensator is proposed. The neural controller using a Hermite-polynomial-based CMAC neural network (HCNN) is main controller and the smooth compensator is designed to guarantee system stable in the Lyapunov stability theorem. Finally, the simulation results show that the proposed AHCNC scheme can achieve favorable chaos synchronization after the controller parameters learning.
|關鍵字||Adaptive control;Neural control;CMAC
neural network;Hermite polynomial
|出處||Proceedings of 2012 CACS International Automatic Control Conference, 6p.|